发明名称 System and method for biasing search results based on topic familiarity
摘要 A familiarity level classifier comprises a stopwords engine for conducting a stopwords analysis of stopwords, e.g., introductory level stopwords and advanced level stopwords, in a document, e.g., a website; and a familiarity level classifier module for generating a document familiarity level based on the stopwords analysis. The classifier may be in an indexing module, a search engine, a user computer, or elsewhere in a computer network. The classifier may also include a reading level engine for conducting a reading level analysis of the document, and wherein the familiarity level classifier module is configured to generate the familiarity level also based on the reading level analysis. The classifier may also include a document features engine for conducting a feature analysis of the document, and wherein the familiarity level classifier module is configured to generate the document familiarity level also based on the feature analysis.
申请公布号 US8095487(B2) 申请公布日期 2012.01.10
申请号 US20060378871 申请日期 2006.03.16
申请人 JONES ROSIE;KUMARAN GIRIDHAR;MADANI OMID;YAHOO! INC. 发明人 JONES ROSIE;KUMARAN GIRIDHAR;MADANI OMID
分类号 G06E1/00;G06E3/00 主分类号 G06E1/00
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